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@sethlazar
Philosopher working on AGI alignment, governance and adaptation at Johns Hopkins School of Government and Policy, and at Resolution.
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A user says “it's a deal” and quips that their agents will call the other person's agents.
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A user calls the experiment's design clever and its results “very interesting,” without giving further details.
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A user says they’re enjoying the setup, though they leave open whether the agents are doing anything productive.
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A post argues academia's independence enables critical work when the stakes are high and trillions of dollars are in play.
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An October 10 post said the call for papers would be out in a couple of weeks.
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A user argues AI-written messages can create “slop rollouts” that needlessly take up colleagues’ time.
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A post criticizes a take by Yoshua, arguing that frontier labs need people who prioritize safety right now.
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One post argues that AGI alone won’t deliver benefits; those gains depend on creating ‘rails’ and removing predictable obstacles.
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A post argues that aligning general-purpose AI hinges on political choices about desirable values, not just model training.
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A user quoted another post and added the comment, “I like this.”
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A co-author says more models were added and argues that AIs urge people to follow even absurd or unjust rules.
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A post argues AI can speed some research tasks but add risks, and skipping it isn't necessarily malpractice.
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A post argues that treating AI evaluations as adversarial is doomed, favoring a collaborative approach instead.
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A researcher sharing a new COLM paper says unfaithful models did not use the same layers for both tasks.
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David Robinson argues OpenAI’s trial-and-error safety culture is inadequate for increasingly capable AI systems.
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A user says the reset also shifted from six days away to the next day, making usage hard to plan.
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A poster says a photographer asked how long their group had been chasing swarms; they told him swarms were a recent development.
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Posts on X congratulated Nathan Lambert and Trillium Labs after a launch, with several users describing the effort as open, science-oriented or focused on open post-training. Lambert later said some criticism came from Substack and more general-audience AI followers, not the technical AI community.
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In a new essay, the authors argue that sincere warnings about AI existential risk may still be mistaken and counterproductive.
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A user says their tools work across devices and that one now replaces their usual phone home screen.
